Application Considerations for Operating VSI-FED MV Motors in Hazardous Locations

Hoadley, F.L.; McElveen, Robbie; Obermann, Timothy R.

doi:10.1109/tia.2016.2630019

Cited by 3 publications

(2 citation statements)

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“…The primary variables affecting this issue are voltage and current distortion, common mode voltage, and the essential design considerations for production. Thermal and common mode voltages are regularly checked in this regard to ensure that the drives function within safe limits [22,23]. The industry's primary parameters for either the drive or motor sector emerge owing to these voltages being either over or below the par range of values from the power grid, which proves to be a cause of great discomfort for drive performance [24,25].…”

Section: Survey On Parametric Issues In Grid's Poor Qualitymentioning

confidence: 99%

Bulletin of the Polish Academy of Sciences: Technical Sciences

K.,

2022

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Since electrical drives have become an integral element of any industrial sector, power quality difficulties have been well expected, and delivering genuine quality of the same has proven to be a difficult challenge. Since power quality relies on load side non-linearity and high semiconductor technology consumption, it is a serious concern. The efficiency of the drive segment employed in the sector is increasingly becoming a topic of discussion in today's market. Numerous reviews of available literature have found problems with the load side as well as with electrical drive proficiency, as a result of the issues listed above. A high level of power quality vulnerability is simply too much. Even the most advanced technology has its limits when it comes to drive operation. Research on the grid-side quality issues of electrical drives is the focus of this article. After field testing of grid power quality, each parametric analysis is performed to identify crucial parameters that can cause industrial drives to fail. Based on this discovery, a machine learning strategy was developed and an artificial intelligence technique was proposed to administer the fault deterrent prediction algorithm. An accurate forecast of anomalous behavior on the grid side ensures safe and dependable grid operation such that shutdown or failure probability is minimized to a greater extent by the results. Additional information gleaned from historical data will prove useful to equipment manufacturers in the future, providing a solution to this problem.

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Section: Survey On Parametric Issues In Grid's Poor Qualitymentioning

confidence: 99%

Bulletin of the Polish Academy of Sciences: Technical Sciences

K.,

2022

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“…The main reasons for cutting this material are current and voltage distortion, common mode voltage, and manufacturing design requirements. In this sense, thermal and common mode voltages are constantly monitored to maintain drive safety [13].…”

Section: Technical Survey Of Current Industrial Drives -A Broad Overviewmentioning

confidence: 99%

Performance Assessment of Industrial Drives due to Power Quality Issues and its Potential Impacts on Electrical Drives

Vishnu¹,

Ashok²

2021

Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, In

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Power quality difficulties have been predicted since electronically powered drives have been the main component of any manufacturing process. Evaluating the same's informative quality has proven to be a big challenge. Because of non-linearity on the load side and an over-reliance on semiconductor technology, a good power quality could be crucial. The capabilities of the drives section employed in the business are also attracting attention in the current circumstances. As a result of the concerns mentioned above, several literary scientific studies show disturbances in the load side and the efficiency of electric drives. Weakness resulting from power quality is simply too significant, making it difficult for even the most sophisticated engineering to function effectively. A deep insight examination of grid side characteristics was performed in conjunction with investigating the inverter drive section responsiveness to grid variation to confirm the grid side issues for the artificial intelligence technique. This study work emphasized and proposed an answer to the possible artificial wise approach for administering fault deterrence prediction algorithm after clear proof from analysis and accounting grid side quality concerns relevant to electronic powered drives. The result is an accurate forecast of abnormal grid side behavior to offer safe and trustworthy grid operation, reducing the likelihood of shutdown or failure to a greater extent. Improvements in forecast accuracy based on previous data have been viable feedback to business equipment manufacturers, in addition to the aforementioned technique.

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